Demographics details for Mattoon, IL vs Columbia, MO
Population Overview
Compare main population characteristics in Mattoon, IL vs Columbia, MO.
Data | Mattoon | Columbia |
---|---|---|
Population | 16,666 | 128,555 |
Median Age | 42.4 years | 28.8 years |
Median Income | $45,953 | $60,455 |
Married Families | 33.0% | 32.0% |
Poverty Level | 13% | 19% |
Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Mattoon vs Columbia
- The population in Columbia is higher at 128,555, compared to 16,666 in Mattoon.
- Residents in Mattoon have a higher median age of 42.4 years compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455, compared to $45,953 in Mattoon.
- A higher percentage of married families is found in Mattoon at 33.0% compared to 32.0% in Columbia.
- The poverty level is higher in Columbia at 19%, compared to 13% in Mattoon.
- The unemployment rate in Mattoon is higher at 4.2%, compared to 3.8% in Columbia.
Demographics
Demographics Mattoon vs Columbia provide insight into the diversity of the communities to compare.
Demographic | Mattoon | Columbia |
---|---|---|
Black | 2 | 11 |
White | 91 | 73 |
Asian | 1 | 6 |
Hispanic | 2 | 4 |
Two or More Races | 4 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mattoon vs Columbia
- In Columbia, the percentage of Black residents is higher at 11% compared to 2% in Mattoon.
- Mattoon has a higher percentage of White residents at 91% compared to 73% in Columbia.
- In Columbia, the Asian population stands at 6%, greater than 1% in Mattoon.
- Columbia has a higher percentage of Hispanic residents at 4%, compared to 2% in Mattoon.
- The percentage of residents identifying as two or more races is higher in Columbia at 6%, compared to 4% in Mattoon.
- The percentage of American Indian residents is the same in both Mattoon and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mattoon | Columbia |
---|---|---|
Mental Health Not Good | 17.8% | 16.7% |
Physical Health Not Good | 12.6% | 11.4% |
Depression | 24.4% | 25.3% |
Smoking | 20.7% | 16.3% |
Binge Drinking | 17.2% | 17.7% |
Obesity | 36.0% | 33.5% |
Disability Percentage | 20.0% | 11.0% |
Health Statistics Comparison: Mattoon vs Columbia
- More residents in Mattoon report poor mental health at 17.8% compared to 16.7% in Columbia.
- Higher depression rates are seen in Columbia at 25.3% versus 24.4% in Mattoon.
- Smoking is more prevalent in Mattoon at 20.7% compared to 16.3% in Columbia.
- More residents engage in binge drinking in Columbia at 17.7% compared to 17.2% in Mattoon.
- Obesity rates are higher in Mattoon at 36.0% compared to 33.5% in Columbia.
- Disability percentages are higher in Mattoon at 20.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mattoon | Columbia |
---|---|---|
No Schooling | 0.5% (78) | 0.7% (845) |
High School Diploma | 20.8% (3,470) | 7.8% (9,965) |
Less than High School | 12.9% (2,150) | 4.2% (5,383) |
Bachelor's Degree and Higher | 13.3% (2,220) | 30.5% (39,270) |
Education Levels Comparison: Mattoon vs Columbia
- In Columbia, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Mattoon.
- A higher percentage of residents in Mattoon hold a high school diploma at 20.8% compared to 7.8% in Columbia.
- More residents in Mattoon have less than a high school education at 12.9% compared to 4.2% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 13.3% in Mattoon.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.